Computational Social Networks

About this journal

Computational Social Networks showcases refereed papers dealing with all mathematical, computational and applied aspects of social computing. The objective of this journal is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing. Submissions are welcome which focus on common principles, algorithms and tools that govern network structures/topologies, network functionalities, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.

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Aims and Scope

Computational Social Networks showcases refereed papers dealing with all mathematical, computational and applied aspects of social computing. The objective of this journal is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing. Submissions are welcome which focus on common principles, algorithms and tools that govern network structures/topologies, network functionalities, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.

Topics include (but are not limited to) the following:

Social network design and architecture

Mathematical modeling and analysis

Real-world complex networks

Information retrieval in social contexts, political analysts

Network structure analysis

Network dynamics optimization

Complex network robustness and vulnerability

Information diffusion models and analysis

Security and privacy

Searching in complex networks

Efficient algorithms

Network behaviors

Trust and reputation

Social Influence

Social Recommendation

Social media analysis

Big data analysis on online social networks

This journal publishes rigorously refereed papers dealing with all mathematical, computational and applied aspects of social computing. The journal also includes reviews of appropriate books as special issues on hot topics.